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Record W2029844790 · doi:10.1177/1941406413476547

Photographic Examination of Student Lunches in Schools Using the Balanced School Day Versus Traditional School Day Schedules

2013· article· en· W2029844790 on OpenAlexaffabout
Sandra C. Dorman, Alain P. Gauthier, Michelle Laurence, Laura J. Thirkill, J. Lynn Kabaroff

Bibliographic record

VenueICAN Infant Child & Adolescent Nutrition · 2013
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsLaurentian University
Fundersnot available
KeywordsScheduleCalorieMedicineFood scienceFortificationAdded sugarEnvironmental healthSugarAnimal scienceChemistryBiologyComputer science

Abstract

fetched live from OpenAlex

Background. Canadian schools have broadly adopted a schedule where school days are divided into 3 blocks with 2 breaks. Given childhood obesity rates, changes affecting diet should be examined. The aim of this study was to (1) compare calories and composition of lunches from students attending schools, using different schedules; and (2) analyze elementary student lunches. Methods. Diary logs and photographs were taken of lunches on 4 days. Meals were analyzed using a nutrition software program, and differences between number of beverages, calories, and nutrients were examined for different schedules. Results. A total of 117 students (81% response rate) in grades 3 to 6 participated. Students using the Balanced School Day schedule had more beverages than the Traditional School Day schedule (BSD, 1.42; TSD, 1.18; P = .04). There were no other significant differences in nutritional content of food, based on schedule. In general, student lunches were high in sugar and salt and low in fiber, fruit, vegetables, vitamins, and minerals. Conclusions. Except beverages, the schedule did not affect student lunches. Parents/guardians should (1) increase fruits and vegetables, (2) limit desserts and snacks, (3) supply 1% or skim milk, (4) discontinue fruit juice and sugar-based beverages, and (5) increase higher-fiber, grain-based foods and legumes. These initiatives require community support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.273
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueICAN Infant Child & Adolescent NutritionSame topicObesity, Physical Activity, DietFrench-language works237,207